SECTION 1
Historical Context & Motivation
The study of how fast chemical reactions proceed — chemical kinetics — has roots extending back to the mid-nineteenth century, when chemists first began to systematically measure the rates at which reactants are consumed and products are formed. While equilibrium thermodynamics could predict whether a reaction is spontaneous, it remained silent on the crucial question of how quickly that transformation would occur. This gap motivated a new branch of physical chemistry that sought to express concentration as a function of time, ultimately giving rise to the integrated rate laws that remain central to modern kinetics.
1850 • Wilhelmy's Sucrose Hydrolysis
1864 • Guldberg & Waage's Law of Mass Action
1884 • van 't Hoff's Études de Dynamique Chimique
1889 • Arrhenius Equation
The differential rate law tells us how fast a reaction proceeds at a given instant, but it does not directly reveal the concentration of a reactant at an arbitrary future time. Answering the practical question — "If I start with 0.50 M of reactant A, what concentration remains after 30 minutes?" — requires integration of the differential rate law. This mathematical operation transforms rate = f(concentration) into concentration = f(time), yielding equations that are indispensable for reactor design, pharmacokinetics, and environmental modeling.
SECTION 2
Core Principles & Definitions
Before deriving the integrated forms, it is essential to establish the conceptual vocabulary that underpins all rate-law analysis. A differential rate law expresses the instantaneous rate as a product of the rate constant and concentration terms raised to their respective orders: rate = k[A]n, where n is the reaction order with respect to A. The integrated rate law is obtained by separating variables and integrating from the initial concentration [A]₀ at time zero to [A] at time t. Each order yields a different functional form and, crucially, a different linear plot that serves as a diagnostic tool for determining the order experimentally.
Reaction Order (n)
Rate Constant (k)
Half-Life (t₁/₂)
Linear Plot Diagnostic
Pseudo-Order Simplification
KEY TAKEAWAY
SECTION 3
Visual Explanation — Concentration vs. Time Profiles
The most intuitive way to distinguish among the three common reaction orders is to examine their concentration-versus-time plots. The diagram below shows the decay of [A] over time for zero-order (linear decay), first-order (exponential decay), and second-order (hyperbolic decay) reactions, all starting from the same initial concentration and using rate constants chosen to make the differences visually clear. Notice how the zero-order reaction depletes the reactant in a finite, predictable time, whereas first- and second-order reactions approach zero asymptotically.
Several critical observations emerge from this plot. First, the zero-order curve is a straight line with a slope of −k, meaning that the reaction consumes the same absolute amount of reactant per unit time regardless of how much remains — a behavior characteristic of surface-catalyzed reactions that are saturated with substrate. Second, the first-order curve is concave upward and never truly reaches zero; its constant half-life means successive halving intervals are identical, which is the hallmark of radioactive decay and many unimolecular decompositions. Third, the second-order curve decays even more gradually at later times because the rate is proportional to [A]², and as [A] shrinks, the rate diminishes more steeply than in the first-order case, producing progressively longer half-lives.
SECTION 4
Mathematical Framework — Deriving the Integrated Rate Laws
Each integrated rate law is obtained by the same procedure: write the differential rate law −d[A]/dt = k[A]n, separate variables to isolate [A] on one side and dt on the other, then integrate both sides with the boundary condition [A] = [A]₀ at t = 0. The resulting expression for each integer order n = 0, 1, 2 is summarized below, together with its linear-plot form and half-life expression.
Zero-Order (n = 0)
ZERO-ORDER INTEGRATED RATE LAW
Derived from −d[A]/dt = k. Rearranging: d[A] = −k dt. Integrating: [A] − [A]₀ = −kt. Plot [A] vs. t for a straight line with slope = −k and intercept = [A]₀. Units of k: M·s⁻¹ (or M·time⁻¹).
ZERO-ORDER HALF-LIFE
The half-life depends on initial concentration: higher [A]₀ yields a longer half-life. Each successive half-life is shorter than the previous one.
First-Order (n = 1)
FIRST-ORDER INTEGRATED RATE LAW
Derived from −d[A]/dt = k[A]. Separating: d[A]/[A] = −k dt. Integrating: ln[A] − ln[A]₀ = −kt. Plot ln[A] vs. t for a straight line with slope = −k. Units of k: s⁻¹ (or time⁻¹).
FIRST-ORDER HALF-LIFE
The half-life is independent of [A]₀ — a unique and experimentally useful feature. This is why radioactive decay (a first-order process) has a fixed half-life regardless of the amount of material.
Second-Order (n = 2)
SECOND-ORDER INTEGRATED RATE LAW
Derived from −d[A]/dt = k[A]². Separating: d[A]/[A]² = −k dt. Integrating: −1/[A] + 1/[A]₀ = −kt, which rearranges to the form above. Plot 1/[A] vs. t for a straight line with slope = +k. Units of k: M⁻¹·s⁻¹.
SECOND-ORDER HALF-LIFE
The half-life is inversely proportional to [A]₀: as the reactant is consumed and [A] decreases, each successive half-life becomes longer. This contrasts sharply with zero-order (shorter successive half-lives) and first-order (constant half-life).
SECTION 5
Diagnostic Linear Plots — Determining Reaction Order
In practice, the reaction order is often unknown and must be determined experimentally. The standard approach is to collect concentration-time data and then construct three candidate plots: [A] vs. t, ln[A] vs. t, and 1/[A] vs. t. The plot that yields a straight line with the best R² value identifies the reaction order. The slope of that line gives the rate constant (with the appropriate sign convention), and the intercept gives the initial condition.
| Property | Zero-Order | First-Order | Second-Order |
|---|---|---|---|
| Integrated Law | [A] = [A]₀ − kt | ln[A] = ln[A]₀ − kt | 1/[A] = 1/[A]₀ + kt |
| Linear Plot | [A] vs. t | ln[A] vs. t | 1/[A] vs. t |
| Slope | −k | −k | +k |
| Half-Life | [A]₀ / 2k | 0.693 / k | 1 / (k[A]₀) |
| t₁/₂ Trend | Decreases as [A] drops | Constant | Increases as [A] drops |
| Units of k | M·s⁻¹ | s⁻¹ | M⁻¹·s⁻¹ |
Comprehensive comparison of integrated rate law properties across reaction orders
SECTION 6
Worked Example — Determining Order and Rate Constant from Data
Consider the decomposition of nitrogen dioxide: 2 NO₂(g) → 2 NO(g) + O₂(g). A kinetics experiment at 300 °C yields the following data for [NO₂] over time:
| Time (s) | [NO₂] (M) | ln[NO₂] | 1/[NO₂] (M⁻¹) |
|---|---|---|---|
| 0 | 0.0100 | −4.605 | 100.0 |
| 50 | 0.00787 | −4.845 | 127.1 |
| 100 | 0.00649 | −5.038 | 154.1 |
| 200 | 0.00481 | −5.337 | 207.9 |
| 300 | 0.00380 | −5.573 | 263.2 |
Experimental kinetics data for NO₂ decomposition at 300 °C
Determining the Order and Rate Constant for NO₂ Decomposition
- 1
Step 1 — Compute Diagnostic Quantities
For each data point, calculate ln[NO₂] and 1/[NO₂]. These have already been tabulated above. We will now assess which of the three diagnostic plots ([NO₂] vs. t, ln[NO₂] vs. t, 1/[NO₂] vs. t) yields the best straight line. - 2
Step 2 — Test for Zero-Order
Plotting [NO₂] vs. t: the points (0, 0.0100), (50, 0.00787), (100, 0.00649), (200, 0.00481), (300, 0.00380) show a curve, not a straight line. The intervals between successive concentration values are not equal (Δ[A] changes from 0.00213 to 0.00138 to 0.00168 to 0.00101). This rules out zero-order kinetics.Not zero-order — [NO₂] vs. t is curved. - 3
Step 3 — Test for First-Order
Plotting ln[NO₂] vs. t: the points are (0, −4.605), (50, −4.845), (100, −5.038), (200, −5.337), (300, −5.573). Checking the increments: the change from 0 to 50 s is −0.240, from 50 to 100 s is −0.193, from 100 to 200 s (100 s interval) is −0.299, and from 200 to 300 s is −0.236. These are not equally spaced per unit time, so ln[NO₂] vs. t is not perfectly linear.Not first-order — ln[NO₂] vs. t shows curvature. - 4
Step 4 — Test for Second-Order
Plotting 1/[NO₂] vs. t: the points are (0, 100.0), (50, 127.1), (100, 154.1), (200, 207.9), (300, 263.2). The change per second is approximately 0.54 M⁻¹·s⁻¹ for each interval: (127.1 − 100.0)/50 = 0.542, (154.1 − 127.1)/50 = 0.540, (207.9 − 154.1)/100 = 0.538, (263.2 − 207.9)/100 = 0.553. These are remarkably consistent, confirming linearity.Second-order confirmed — 1/[NO₂] vs. t is linear. - 5
Step 5 — Extract the Rate Constant
From the second-order integrated rate law, 1/[A] = 1/[A]₀ + kt, the slope of the 1/[NO₂] vs. t line equals k. Using the endpoints: k = (263.2 − 100.0) M⁻¹ / (300 − 0) s = 163.2 / 300 = 0.544 M⁻¹·s⁻¹.k = 0.544 M⁻¹·s⁻¹ - 6
Step 6 — Calculate the Half-Life
For a second-order reaction, t₁/₂ = 1/(k[A]₀) = 1/(0.544 M⁻¹·s⁻¹ × 0.0100 M) = 1/0.00544 s = 184 s. Note that this half-life applies only at the beginning when [NO₂] = 0.0100 M; as the reaction progresses and [NO₂] drops, the half-life will increase.t₁/₂ = 184 s (initial half-life)
SECTION 7
Strengths, Limitations & Common Pitfalls
Integrated rate laws are powerful analytical tools, but they come with assumptions and limitations that must be acknowledged to avoid erroneous conclusions. The following comparison highlights the practical strengths and constraints of each form, along with common mistakes students and researchers encounter when applying these equations.
| Aspect | Strengths | Limitations / Pitfalls |
|---|---|---|
| Zero-Order | Simple linear algebra; easy to extract k. Useful for enzyme-saturated (Michaelis–Menten limit) and surface-catalyzed reactions. | Predicts negative concentrations beyond t = [A]₀/k; physically meaningless past that point. Only valid while the rate-limiting step is saturated. |
| First-Order | Constant half-life simplifies pharmacokinetic dosing. ln[A] plot is highly sensitive for order determination. Handles pseudo-first-order elegantly. | Requires careful measurement of [A] over several half-lives. Students often forget the natural log and try to plot log₁₀[A] instead, altering the slope by a factor of 2.303. |
| Second-Order | Captures bimolecular elementary reactions. 1/[A] plot has a positive slope (unique), making it easy to identify. Increasing half-life is a useful diagnostic. | The form 1/[A] = 1/[A]₀ + kt applies only when the reaction is second-order in a single reactant or when both reactant concentrations are equal. For A + B → products with [A]₀ ≠ [B]₀, a more complex integration is needed. |
| General | All three forms allow extraction of k from a single kinetics run. They connect directly to mechanism and half-life, bridging theory and experiment. | Assumes constant temperature (k is temperature-dependent). Assumes no significant reverse reaction. Side reactions or impurities can distort linearity of all diagnostic plots. |
Strengths and limitations of integrated rate laws by reaction order
COMMON MISTAKE ALERT
SECTION 8
Connection to Advanced Theory — Beyond Integer Orders
The integrated rate laws for 0th, 1st, and 2nd order reactions form the foundation upon which more sophisticated kinetic analyses are built. In advanced physical chemistry and chemical engineering, one frequently encounters situations that extend well beyond these elementary cases, including fractional reaction orders, consecutive and parallel reactions, and temperature-dependent kinetics governed by the Arrhenius equation. The table below summarizes how the elementary integrated rate laws connect to these more advanced topics.
| Elementary Concept | Advanced Extension | Key Difference / Addition |
|---|---|---|
| Integer order n = 0, 1, 2 | Fractional and negative orders | Arise from complex multi-step mechanisms (e.g., chain reactions, enzyme kinetics). The general integrated form uses 1/(n−1) · [A]¹⁻ⁿ for n ≠ 1. |
| Single-reactant rate law | Two-reactant second-order (A + B → P) | Requires partial-fraction decomposition when [A]₀ ≠ [B]₀, yielding ln([B][A]₀ / [A][B]₀) = ([B]₀ − [A]₀)kt. |
| Fixed rate constant k | Temperature-dependent k via Arrhenius | k = A·exp(−Eₐ/RT) links the rate constant to activation energy and temperature. Combining with integrated rate laws enables non-isothermal reactor design. |
| Isolated reaction | Consecutive reactions (A → B → C) | Requires coupled differential equations. The concentration of intermediate B passes through a maximum described by the Bateman equations. |
| Irreversible reaction | Reversible reaction kinetics | The integrated form must include both forward and reverse rate constants: the system approaches equilibrium rather than going to completion. |
How elementary integrated rate laws connect to advanced kinetic theory
In courses on reactor design (chemical engineering) and pharmacokinetics (pharmaceutical sciences), the integrated rate laws serve as building blocks for modeling continuous-flow and batch reactors. For instance, the design equation for a batch reactor is essentially the integrated rate law rearranged to solve for the time needed to achieve a desired conversion. Similarly, the first-order integrated rate law underpins the one-compartment pharmacokinetic model used to predict drug plasma concentrations after dosing. Mastering the derivations and diagnostic plots covered in this lesson provides the essential foundation for all of these advanced applications.
SECTION 9
Practice Problems
Question 1: CONCEPTUAL
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Question 2: BASIC CALCULATION
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Question 3: INTERMEDIATE
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Question 4: APPLIED
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Question 5: CRITICAL THINKING
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SUMMARY
Lesson Summary
Summary
Integrated rate laws transform the instantaneous differential rate law into a concentration-versus-time expression by separating variables and integrating. For a zero-order reaction, [A] = [A]₀ − kt (linear decay, units of k: M·s⁻¹); for a first-order reaction, ln[A] = ln[A]₀ − kt (exponential decay, units of k: s⁻¹); and for a second-order reaction, 1/[A] = 1/[A]₀ + kt (hyperbolic decay, units of k: M⁻¹·s⁻¹). Each form corresponds to a unique diagnostic linear plot — [A] vs. t, ln[A] vs. t, or 1/[A] vs. t — whose linearity identifies the reaction order and whose slope yields the rate constant.
The half-life behavior provides an additional diagnostic: zero-order half-lives decrease as the reaction progresses, first-order half-lives remain constant, and second-order half-lives increase. These relationships follow directly from the mathematical dependence (or independence) of t₁/₂ on [A]₀. By mastering these three integrated forms, their derivations, and their graphical signatures, you possess the core analytical toolkit for experimental kinetics, with direct applications to reactor design, pharmacokinetics, environmental chemistry, and the Arrhenius analysis that connects rate constants to temperature and activation energy.